A Priori Error Bounds and Parameter Scalings for the Time Relaxation Reduced Order Model
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| Main Authors: | , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866908599654023168 |
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| author | Reyes, Jorge Tsai, Ping-Hsuan Novo, Julia Iliescu, Traian |
| author_facet | Reyes, Jorge Tsai, Ping-Hsuan Novo, Julia Iliescu, Traian |
| contents | The a priori error analysis of reduced order models (ROMs) for fluids is relatively scarce. In this paper, we take a step in this direction and conduct numerical analysis of the recently introduced time relaxation ROM (TR-ROM), which uses spatial filtering to stabilize ROMs for convection-dominated flows. Specifically, we prove stability, an a priori error bound, and parameter scalings for the TR-ROM. Our numerical investigation shows that the theoretical convergence rate and the parameter scalings with respect to ROM dimension and filter radius are recovered numerically. In addition, the parameter scaling can be used to extrapolate the time relaxation parameter to other ROM dimensions and filter radii. Moreover, the parameter scaling with respect to filter radius is also observed in the predictive regime. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2411_08986 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Priori Error Bounds and Parameter Scalings for the Time Relaxation Reduced Order Model Reyes, Jorge Tsai, Ping-Hsuan Novo, Julia Iliescu, Traian Numerical Analysis 65M12, 65M15, 65M60, 65M70, 76D05, 76F99 The a priori error analysis of reduced order models (ROMs) for fluids is relatively scarce. In this paper, we take a step in this direction and conduct numerical analysis of the recently introduced time relaxation ROM (TR-ROM), which uses spatial filtering to stabilize ROMs for convection-dominated flows. Specifically, we prove stability, an a priori error bound, and parameter scalings for the TR-ROM. Our numerical investigation shows that the theoretical convergence rate and the parameter scalings with respect to ROM dimension and filter radius are recovered numerically. In addition, the parameter scaling can be used to extrapolate the time relaxation parameter to other ROM dimensions and filter radii. Moreover, the parameter scaling with respect to filter radius is also observed in the predictive regime. |
| title | A Priori Error Bounds and Parameter Scalings for the Time Relaxation Reduced Order Model |
| topic | Numerical Analysis 65M12, 65M15, 65M60, 65M70, 76D05, 76F99 |
| url | https://arxiv.org/abs/2411.08986 |